Edit model card

pegasus-newsroom-summarizer_02

This model is a fine-tuned version of google/pegasus-newsroom on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2204
  • Rouge1: 52.4459
  • Rouge2: 35.2568
  • Rougel: 41.6213
  • Rougelsum: 48.7859
  • Gen Len: 98.0627

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.3231 1.0 16113 1.2305 52.1565 34.8681 41.3189 48.4258 95.9049
1.3001 2.0 32226 1.2186 52.4921 35.2661 41.6264 48.8168 98.9241
1.2372 3.0 48339 1.2204 52.4459 35.2568 41.6213 48.7859 98.0627

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
Downloads last month
21
Hosted inference API
This model can be loaded on the Inference API on-demand.

Spaces using chinhon/pegasus-newsroom-summarizer_02